Outlier detection for streaming data
US12174807B2 · kind B2 · utility
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Key dates
| Filing date | Dec 13, 2021 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Dec 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/2465
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Random cut trees are generated with respective to respective samples of a baseline set of data records of a data set for which outlier detection is to be performed. To construct a particular random cut tree, an iterative splitting technique is used, in which the attribute along which a given set of data records is split is selected based on its value range. With respect to a newly-received data record of the stream, an outlier score is determined based at least partly on a potential insertion location of a node representing the data record in a particular random cut tree, without necessarily modifying the random cut tree.
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